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DevOps Engineer

icon building Company : Origin
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Job Description - DevOps Engineer

About Origin

Origin (previously 10xConstruction) is building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings. Join India’s most talent-dense robotics team consisting of individuals from IITs, Stanford, UCLA, etc.

About the Role

We're hiring a DevOps Engineer (3–5 years) to own the infrastructure that runs our robots. This is robotics infra, not generic SaaS — the pipeline from autonomy code to a Jetson on a real construction site, the network that keeps a robot reachable through a contractor's flaky LTE, and the observability that tells us a manipulator is overheating before a customer notices.

You'll own CI/CD across cloud and edge, design fleet networking and OTA updates, harden our AWS/GCP footprint, and build the observability our autonomy and platform teams depend on. High ownership, low ceremony — you'll be one of the people the whole company leans on when something needs to ship, scale, or stop falling over.

What You’ll Own

CI/CD for Robotics Workloads

  • Architect CI/CD (GitHub Actions / GitLab CI) across two very different targets: x86 cloud services and ARM64/Jetson edge devices running our autonomy stack.

Robot Fleet Operations

  • Design the OTA pipeline: atomic updates, signed images, automatic rollback on health-check failure, resilience to partial transfers over construction-site networks.

Linux, Jetson, and Edge Systems

  • Tune systemd, supervisord, and process priorities so the autonomy stack, sensor drivers, and supporting services share a Jetson under tight CPU, GPU, RAM, and thermal budgets.

Containers & Orchestration

  • Own Docker Compose stacks for local dev, simulation rigs, and on-robot deployments, with selective module mounting and resource isolation between containers sharing a Jetson.

Cloud Infrastructure & IaC

  • Own significant portions of our AWS/GCP footprint — compute, storage for high-throughput sensor data, networking, IAM, KMS, secrets.
  • Right-size aggressively. GPU instances for simulation, spot capacity for training, lifecycle policies for log data. Make spend legible and kill what isn’t pulling its weight.

Observability for Robots and Cloud

  • Own the observability stack end-to-end: metrics (Prometheus, VictoriaMetrics, vmagent), logs, traces, and alerting.
  • Build Grafana dashboards engineers actually open — per-module CPU / RAM / GPU on every robot, fleet uptime, OTA success rate, SLO burn.
  • Write custom exporters where off-the-shelf tools don’t fit — Jetson tegrastats, ROS 2 topic health, sensor frame-rate telemetry. On-device budgets are tight; efficient Go or Rust beats Python here.

Tooling, Scripting & Mentorship

  • Write Python and Bash for the things that quietly run the company: log rotation, device provisioning, backups, sensor calibration sync.
  • 3–5 years in DevOps, SRE, Platform, or Infrastructure Engineering — ideally with some exposure to hardware, embedded, or robotics.
  • Deep comfort on the Linux command line: systemd, the networking stack, and performance debugging (perf, strace, bpftrace a plus).
  • Strong production experience with at least one CI/CD platform (GitHub Actions, GitLab CI, Jenkins), including self-hosted runners at scale.
  • Hands-on with Dockerfiles, multi-arch builds, and debugging container runtime issues.
  • Solid networking fundamentals — TCP/UDP, DNS, firewalls, VPNs, NAT traversal. You can read a tcpdump capture without panicking.
  • Production AWS or GCP experience — networks, IAM, and cost-aware architecture, not just clicking through consoles.
  • Strong Python and Bash. Comfortable owning a small Go or Rust tool when it’s the right hammer.
  • Production experience with Prometheus / Grafana (or equivalent) and an IaC tool like Terraform plus Ansible.
  • Ownership instincts and comfort with startup pace — wide scope, few guardrails, real hardware in the real world.

Bonus Points

  • Production experience with NVIDIA Jetson or other ARM SBCs at fleet scale.
  • Familiarity with ROS 2 / DDS, ROS bag pipelines, or robotics middleware.
  • Experience designing or operating OTA update systems (Mender, RAUC, balena, Foundries.io, or custom).
  • Background in autonomous vehicles, drones, industrial robotics, or any hardware-heavy startup.
  • Production Kubernetes (operators, GitOps with ArgoCD / Flux) or ML infra (GPU scheduling, simulation farms, dataset versioning).
  • Security background — threat modelling, Vault, or compliance work.
  • Gain experience in a dynamic startup environment at the forefront of robotics and AI innovation.
  • Contribute to the development of technology that will revolutionize the construction industry.
  • Work alongside a talented and passionate team committed to making a real-world impact.
  • Learn from experienced professionals and gain valuable skills in robotics software engineering.
  • Gain practical experience in a real-world engineering environment.
  • Contribute to a project with the potential to make a significant impact on the construction industry.
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